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    Architectural optimizations for low-power K-best MIMO decoders

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    Type
    Article
    Authors
    Mondal, Sudip
    Eltawil, Ahmed M.
    Salama, Khaled N. cc
    KAUST Department
    Electrical Engineering Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Sensors Lab
    Date
    2009-09
    Permanent link to this record
    http://hdl.handle.net/10754/561423
    
    Metadata
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    Abstract
    Maximum-likelihood (ML) detection for higher order multiple-input-multiple-output (MIMO) systems faces a major challenge in computational complexity. This limits the practicality of these systems from an implementation point of view, particularly for mobile battery-operated devices. In this paper, we propose a modified approach for MIMO detection, which takes advantage of the quadratic-amplitude modulation (QAM) constellation structure to accelerate the detection procedure. This approach achieves low-power operation by extending the minimum number of paths and reducing the number of required computations for each path extension, which results in an order-of-magnitude reduction in computations in comparison with existing algorithms. This paper also describes the very-large-scale integration (VLSI) design of the low-power path metric computation unit. The approach is applied to a 4 × 4, 64-QAM MIMO detector system. Results show negligible performance degradation compared with conventional algorithms while reducing the complexity by more than 50%. © 2009 IEEE.
    Citation
    Mondal, S., Eltawil, A. M., & Salama, K. N. (2009). Architectural Optimizations for Low-Power $K$-Best MIMO Decoders. IEEE Transactions on Vehicular Technology, 58(7), 3145–3153. doi:10.1109/tvt.2009.2017548
    Sponsors
    Manuscript received January 29, 2009. First published March 16, 2009; current version published August 14, 2009. This work was supported in part by the Center for Automation Technologies and Systems under a block grant from the New York State Foundation for Science, Technology, and Innovation and Grant 2006-IJ-CX-K044 from the National Institute of Justice under the Department of Justice. The review of this paper was coordinated by Dr. H. H. Nguyen.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Transactions on Vehicular Technology
    DOI
    10.1109/TVT.2009.2017548
    ae974a485f413a2113503eed53cd6c53
    10.1109/TVT.2009.2017548
    Scopus Count
    Collections
    Articles; Electrical Engineering Program; Sensors Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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